No-Reference Stereo Image Quality Assessment Based on Image Fusion

Shuyu Huang; Qingbing Sang

doi:10.3788/LOP56.071004

Journals >Laser & Optoelectronics Progress >Volume 56 >Issue 7 >Page 071004 > Article

Laser & Optoelectronics Progress
Vol. 56, Issue 7, 071004 (2019)

No-Reference Stereo Image Quality Assessment Based on Image Fusion

Shuyu Huang and Qingbing Sang^*

Author Affiliations

Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computational Intelligence, College of Internet of Things Engineering, Jiangnan University, Wuxi, Jiangsu 214122, China

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DOI: 10.3788/LOP56.071004 Cite this Article Set citation alerts

Shuyu Huang, Qingbing Sang. No-Reference Stereo Image Quality Assessment Based on Image Fusion[J]. Laser & Optoelectronics Progress, 2019, 56(7): 071004 Copy Citation Text

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Fig. 1. Framework of stereo image quality assessment algorithm based on fused image and convolutional neural network

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Fig. 2. Left and right views and fused image of stereo image. (a) Left view; (b) right view; (c) fused image

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Fig. 3. Results with normalized luminance coefficient. (a) Fused image with normalized luminance coefficient;(b) probability density distribution

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Fig. 4. Architecture of convolutional neural network

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Fig. 5. Predicted scatter plots. (a) LIVE 3D Phase I database; (b) LIVE 3D Phase II database

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Method	R_SROCC	R_PLCC
LP	0.9462	0.9687
NSCT	0.9455	0.9688
GFF	0.9483	0.9642
DWT	0.9429	0.9675

Table 1. RSROCC and RPLCC of different fused methods on LIVE 3D Phase I database

Method	R_SROCC	R_PLCC
LP	0.9224	0.9237
NSCT	0.9218	0.9243
GFF	0.8955	0.9072
DWT	0.9342	0.9428

Table 2. RSROCC and RPLCC of different fused methods on LIVE 3D Phase II database

Method	R_SROCC	R_PLCC
LP	0.7940	0.7763
NSCT	0.7828	0.7765
GFF	0.8012	0.7921
DWT	0.8033	0.7822

Table 3. RSROCC and RPLCC of different fused methods on MCL-3D database

Method	JP2K	JPEG	WN	BLUR	FF	All
PSNR	0.799	0.121	0.932	0.902	0.587	0.834
SSIM	0.858	0.436	0.938	0.879	0.586	0.876
Method in Ref. [1]	0.910	0.603	0.929	0.931	0.699	0.899
Method in Ref. [10]	0.875	0.614	0.943	0.937	0.781	0.921
Method in Ref. [9]	0.866	0.675	0.914	0.555	0.640	0.383
Method in Ref. [8]	0.863	0.617	0.919	0.877	0.652	0.891
Method in Ref. [15]	0.889	0.613	0.909	0.877	0.758	0.925
Method in Ref. [14]	0.837	0.638	0.931	0.833	0.649	0.892
Method in Ref. [16]	0.917	0.782	0.910	0.865	0.666	0.911
Proposed	0.786	0.929	0.952	0.964	1.000	0.943

Table 4. RSROCC of different methods on LIVE 3D Phase I database

Method	JP2K	JPEG	WN	BLUR	FF	All
PSNR	0.785	0.219	0.935	0.916	0.703	0.834
SSIM	0.865	0.487	0.939	0.919	0.721	0.872
Method in Ref. [1]	0.940	0.641	0.925	0.949	0.747	0.902
Method in Ref. [10]	0.923	0.656	0.941	0.951	0.840	0.924
Method in Ref. [9]	0.905	0.729	0.904	0.617	0.503	0.626
Method in Ref. [8]	0.907	0.695	0.917	0.968	0.735	0.895
Method in Ref. [15]	0.898	0.632	0.923	0.928	0.845	0.926
Method in Ref. [14]	0.848	0.626	0.925	0.899	0.707	0.887
Method in Ref. [16]	0.938	0.806	0.919	0.881	0.758	0.917
Proposed	0.984	0.870	0.968	0.985	0.991	0.968

Table 5. RPLCC of different methods on LIVE 3D Phase I database

Method	JP2K	JPEG	WN	BLUR	FF	All
PSNR	0.597	0.491	0.919	0.690	0.730	0.665
SSIM	0.704	0.678	0.922	0.828	0.834	0.792
Method in Ref. [1]	0.751	0.867	0.923	0.455	0.773	0.728
Method in Ref. [10]	0.847	0.719	0.845	0.800	0.850	0.745
Method in Ref. [9]	0.724	0.649	0.714	0.682	0.559	0.543
Method in Ref. [8]	0.867	0.867	0.950	0.900	0.933	0.880
Method in Ref. [14]	0.553	0.593	0.593	0.869	0.828	0.825
Method in Ref. [16]	0.864	0.839	0.932	0.846	0.860	0.888
Proposed	0.929	1.000	0.964	0.964	0.929	0.934

Table 6. RSROCC of different methods on LIVE 3D Phase II database

Method	JP2K	JPEG	WN	BLUR	FF	All
PSNR	0.597	0.491	0.919	0.690	0.730	0.665
SSIM	0.704	0.678	0.922	0.838	0.834	0.792
Method in Ref. [1]	0.784	0.853	0.926	0.535	0.807	0.748
Method in Ref. [10]	0.837	0.750	0.849	0.827	0.880	0.758
Method in Ref. [9]	0.766	0.786	0.722	0.795	0.674	0.568
Method in Ref. [8]	0.899	0.901	0.947	0.940	0.932	0.880
Method in Ref. [14]	0.634	0.647	0.904	0.967	0.851	0.818
Method in Ref. [16]	0.867	0.829	0.920	0.878	0.836	0.845
Proposed	0.939	0.932	0.971	0.987	0.960	0.943

Table 7. RPLCC of different methods on LIVE 3D Phase II database

Metric	3DSwIM	You(l)	You(g)	StSd	Benoit	Gorley	ST-SIAQ	NIQSV	Proposed
R_PLCC	0.6497	0.7504	0.3650	0.6995	0.7425	0.7099	0.7133	0.6783	0.7822
R_SROCC	0.5683	0.7567	0.6609	0.7008	0.7518	0.7196	0.7034	0.6208	0.8033

Table 8. RPLCC and RSROCC of different methods on MCL-3D database

Shuyu Huang, Qingbing Sang. No-Reference Stereo Image Quality Assessment Based on Image Fusion[J]. Laser & Optoelectronics Progress, 2019, 56(7): 071004

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